| 引用本文: | 王薪苹,卫志农,孙国强,李逸驰,臧海祥.计及分布式电源和负荷不确定性的多目标配网重构[J].电力自动化设备,2016,36(6): |
| WANG Xinping,WEI Zhinong,SUN Guoqiang,LI Yichi,ZANG Haixiang.Multi-objective distribution network reconfiguration considering uncertainties of distributed generation and load[J].Electric Power Automation Equipment,2016,36(6): |
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| 摘要: |
| 构建多目标配网重构模型，该模型充分考虑了风电出力、光伏发电以及负荷的不确定性，并且同时优化配网的3个重要评估指标：有功损耗、节点最小电压值、负荷均衡度。采用场景分析法处理不确定性因素，采用同步回代缩减法进行场景削减，讨论不同场景数对优化结果的影响，并利用多目标扰动生物地理学算法求解模型，利用模糊集理论确定最终重构方案。某69节点配网系统测试结果表明：所用算法能够快速找到多目标配网重构模型的决策解，具有较高的搜索效率，验证了在消纳分布式电源的情况下，通过网络重构能够明显改善网络的各项指标。 |
| 关键词: 配网重构 风电 光伏发电 场景分析法 多目标扰动生物地理学算法 分布式电源 不确定性 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（51277052）；中国博士后科学基金资助项目（2015M571653） |
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| Multi-objective distribution network reconfiguration considering uncertainties of distributed generation and load |
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WANG Xinping, WEI Zhinong, SUN Guoqiang, LI Yichi, ZANG Haixiang
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College of Energy and Electrical Engineering，Hohai University，Nanjing 211100，China
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| Abstract: |
| A multi-objective distribution network reconfiguration model is built，which fully considers the uncertainties of wind power，photovoltaic generation and load，as well as simultaneously optimizes three important assessment indicators of distribution power system，i.e. power loss，nodal voltage minimum and load balancing degree. The scenario analysis method is adopted to deal with the uncertain factors and the simultaneous backward reduction method is used to reduce the scenario number. The impact of scenario number on the reconfiguration results is discussed. The MDBBO（Multi-objective Disturbance Biogeography-Based Optimization） algorithm is applied to solve the model and the fuzzy set theory is used to obtain the final reconfiguration scheme. The test results for a 69-bus distribution network show that，the proposed algorithm has higher searching efficiency to quickly find the solution of reconfiguration model and the distribution network indexes are improved by the network reconfiguration to accommodate the distributed generations. |
| Key words: distribution network reconfiguration wind power photovoltaic generation scenario analysis method multi-objective disturbance biogeography-based optimization algorithm distributed power generation uncertainty |
